Transferable Representation Learning with Deep Adaptation Networks
Long, Mingsheng, Cao, Yue, Cao, Zhangjie, Wang, Jianmin, Jordan, Michael I.
Published in IEEE transactions on pattern analysis and machine intelligence (01.12.2019)
Published in IEEE transactions on pattern analysis and machine intelligence (01.12.2019)
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Journal Article
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack
Chen, Jianbo, Jordan, Michael I., Wainwright, Martin J.
Published in 2020 IEEE Symposium on Security and Privacy (SP) (01.05.2020)
Published in 2020 IEEE Symposium on Security and Privacy (SP) (01.05.2020)
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Conference Proceeding
Communication-Efficient Distributed Statistical Inference
Jordan, Michael I., Lee, Jason D., Yang, Yun
Published in Journal of the American Statistical Association (03.04.2019)
Published in Journal of the American Statistical Association (03.04.2019)
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Journal Article
Skilful nowcasting of extreme precipitation with NowcastNet
Zhang, Yuchen, Long, Mingsheng, Chen, Kaiyuan, Xing, Lanxiang, Jin, Ronghua, Jordan, Michael I, Wang, Jianmin
Published in Nature (London) (20.07.2023)
Published in Nature (London) (20.07.2023)
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Journal Article
Deep generative modeling for single-cell transcriptomics
Lopez, Romain, Regier, Jeffrey, Cole, Michael B, Jordan, Michael I, Yosef, Nir
Published in Nature methods (01.12.2018)
Published in Nature methods (01.12.2018)
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Journal Article
A variational perspective on accelerated methods in optimization
Wibisono, Andre, Wilson, Ashia C., Jordan, Michael I.
Published in Proceedings of the National Academy of Sciences - PNAS (22.11.2016)
Published in Proceedings of the National Academy of Sciences - PNAS (22.11.2016)
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Journal Article
Understanding the acceleration phenomenon via high-resolution differential equations
Shi, Bin, Du, Simon S., Jordan, Michael I., Su, Weijie J.
Published in Mathematical programming (01.09.2022)
Published in Mathematical programming (01.09.2022)
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Journal Article
Minimax Optimal Procedures for Locally Private Estimation
Duchi, John C., Jordan, Michael I., Wainwright, Martin J.
Published in Journal of the American Statistical Association (02.01.2018)
Published in Journal of the American Statistical Association (02.01.2018)
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Journal Article
SOUL: An Energy-Efficient Unsupervised Online Learning Seizure Detection Classifier
Chua, Adelson, Jordan, Michael I., Muller, Rikky
Published in IEEE journal of solid-state circuits (01.08.2022)
Published in IEEE journal of solid-state circuits (01.08.2022)
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Journal Article
Learning Dependency-Based Compositional Semantics
Liang, Percy, Jordan, Michael I., Klein, Dan
Published in Computational linguistics - Association for Computational Linguistics (01.06.2013)
Published in Computational linguistics - Association for Computational Linguistics (01.06.2013)
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Journal Article
Sampling can be faster than optimization
Ma, Yi-An, Chen, Yuansi, Jin, Chi, Flammarion, Nicolas, Jordan, Michael I.
Published in Proceedings of the National Academy of Sciences - PNAS (15.10.2019)
Published in Proceedings of the National Academy of Sciences - PNAS (15.10.2019)
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Journal Article
Computational and statistical tradeoffs via convex relaxation
Chandrasekaran, Venkat, Jordan, Michael I
Published in Proceedings of the National Academy of Sciences - PNAS (26.03.2013)
Published in Proceedings of the National Academy of Sciences - PNAS (26.03.2013)
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Journal Article
First-order methods almost always avoid strict saddle points
Lee, Jason D., Panageas, Ioannis, Piliouras, Georgios, Simchowitz, Max, Jordan, Michael I., Recht, Benjamin
Published in Mathematical programming (01.07.2019)
Published in Mathematical programming (01.07.2019)
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Journal Article
A scalable bootstrap for massive data
Kleiner, Ariel, Talwalkar, Ameet, Sarkar, Purnamrita, Jordan, Michael I.
Published in Journal of the Royal Statistical Society. Series B, Statistical methodology (01.09.2014)
Published in Journal of the Royal Statistical Society. Series B, Statistical methodology (01.09.2014)
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Journal Article